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Gurinder Gosal Email & Phone Number

Vice President, Data Science @Bank of America at Bank of America
Location: Atlanta, Georgia, United States 6 work roles 3 schools
1 work email found @uga.edu LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

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Current company
Role
Vice President, Data Science @Bank of America
Location
Atlanta, Georgia, United States

Who is Gurinder Gosal? Overview

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Quick answer

Gurinder Gosal is listed as Vice President, Data Science @Bank of America at Bank of America, based in Atlanta, Georgia, United States. AeroLeads shows a work email signal at uga.edu and a matched LinkedIn profile for Gurinder Gosal.

Gurinder Gosal previously worked as Vice President, Data Science at Bank Of America and Staff Data Scientist at Skael, Inc.. Gurinder Gosal holds Master Of Science - Ms, Computer Science from The University Of Georgia.

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Email format at Bank of America

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{first_initial}{last}@uga.edu
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Profile bio

About Gurinder Gosal

An experienced professional having a post-doctorate in Computer Science with several years of industrial and academic experience in developing and deploying Data Science, ML, NLP, and Semantic Technology projects. Have been involved in data integration, extraction, validation, analysis, and presentation tasks for implementing data-driven solutions in several domains using advanced machine learning and NLP approaches.

Listed skills include Envision, Systems Biology, Community, Risk Analytics, and 100 others.

Current workplace

Gurinder Gosal's current company

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Bank of America
Bank Of America
Vice President, Data Science @Bank of America
AeroLeads page
6 roles

Gurinder Gosal work experience

A career timeline built from the work history available for this profile.

Vice President, Data Science

Current

Charlotte, Nc, Us

As a key member of the Data Science for Technology, Risk, and Operations (DSTRO) team of Global Risk Analytics at the Bank, I am involved in the Model Implementation Approval procedure as part of the Model Development Executive’s Governance function that provides model implementation support, and guides model developers through each of the phases of the end-to-end model development lifecycle from a process point-of-view. I am also involved in several data science tasks for the DSTRO team. I am also providing support to model teams for monthly Intracycle Monitoring for the performance of models as per Enterprise Model Risk Policy requirements.

Dec 2022 - Present

Staff Data Scientist

Skael, Inc.

• Worked as a Staff Data Scientist in the SKAI (SKAEL AI) group that is in charge of developing and enhancing advanced technologies, such as artificial intelligence, NLP, machine learning and data mining, to advance SKAEL’s business and products. The group works on programs in multiple areas such as conversational AI, data wrangling, image processing, behavioral analytics, predictive analytics, business enablement, telemetric and benchmark analytics. • Led the Computation Linguistic team which is tasked with developing the ability of SKAEL’s digital employees to understand human language. Combining computational linguistics with machine learning algorithms and reinforcement learning gives the end user a human-like experience when interacting with SKAEL’s digital employees. • The team worked on providing the new generation of SKAEL’s conversational engine and working on several projects as the components of the state-of-art Conversational Engine. • Developed Intent Recognition and Entity Recognition Systems for 4 business domains: Helpdesk (IT Helpdesk), Travel, Secretarial, and Sales.

Nov 2021 - Nov 2022

Pdf -Senior Researcher (Data Science And Nlp)

Vancouver, British Columbia, Ca

•Worked as a key researcher and strategist in the areas of data science, ML, NLP, and semantic technologies to develop machine learning and NLP competencies in the healthcare domain, working closely with an interdisciplinary team of public health researchers, epidemiologists, medical microbiologists, laboratory technologists, and software developers involved in developing open-source AI-driven tools and knowledge frameworks that improve data sharing and re-use in public health.•Implemented the analyzed and designed data science, ML, NLP and Semantic technology projects with extensive code design and production, majority of which is available as open source code. Involved in the delivery and deployment of the projects available on BioConda and GitHub. On the semantic technology front, worked as a key member of the teams developing and curating ontologies.

Apr 2017 - Nov 2021

Senior Research Engineer (Data Science And Nlp)

Northside Inc.

• Developed and led several NLP, data science and semantic technology tasks that were part of breakthrough natural language understanding technology used in Bot Colony (http://botcolony.com/), a video game - the first application where a person can speak freely with a machine. Managed and participated in several modules of Bot Colony game in different roles, and assisted different teams working on multiple projects in North Side Inc.

Nov 2012 - Nov 2013

Software Research Engineer

Northside Inc

• Developed several NLP, data science and semantic technology tasks that were part of breakthrough natural language understanding technology used in Bot Colony (http://botcolony.com/), a video game - the first application where a person can speak freely with a machine. Managed and participated in multiple modules of Bot Colony game in different roles as well assisted teams working on multiple projects in North Side Inc.

Apr 2011 - Nov 2012

Senior Research Professional

Athens, Ga, Us

•As a key NLP and semantic technology developer and researcher, I analyzed, designed, developed, tested, implemented and evaluated a very large and comprehensive ontology, ProKinO (https://ieeexplore.ieee.org/abstract/document/6120500) that serves as a useful and efficient representation of the integrated knowledge about the complex proteins, called protein kinases, which are intimately involved in the genesis and behavior of cancer cells (http://vulcan.cs.uga.edu/prokino/about/prokino). •Performed a large-scale integrative analysis of protein kinase data integrated from multiple disparate sources to investigate its role in cancer

Jun 2010 - Apr 2011
3 education records

Gurinder Gosal education

Master Of Science - Ms, Computer Science

The University Of Georgia

Post-Doctorate, Computer Science

The University Of British Columbia

Doctor Of Philosophy - Phd, Computer Science

The University Of Georgia/ Punjabi University
FAQ

Frequently asked questions about Gurinder Gosal

Quick answers generated from the profile data available on this page.

What company does Gurinder Gosal work for?

Gurinder Gosal works for Bank of America.

What is Gurinder Gosal's role at Bank of America?

Gurinder Gosal is listed as Vice President, Data Science @Bank of America at Bank of America.

What is Gurinder Gosal's email address?

AeroLeads has found 1 work email signal at @uga.edu for Gurinder Gosal at Bank of America.

Where is Gurinder Gosal based?

Gurinder Gosal is based in Atlanta, Georgia, United States while working with Bank of America.

What companies has Gurinder Gosal worked for?

Gurinder Gosal has worked for Bank Of America, Skael, Inc., The University Of British Columbia, Northside Inc., and Northside Inc.

How can I contact Gurinder Gosal?

You can use AeroLeads to view verified contact signals for Gurinder Gosal at Bank of America, including work email, phone, and LinkedIn data when available.

What schools did Gurinder Gosal attend?

Gurinder Gosal holds Master Of Science - Ms, Computer Science from The University Of Georgia.

What skills is Gurinder Gosal known for?

Gurinder Gosal is listed with skills including Envision, Systems Biology, Community, Risk Analytics, Clinical Research, Jira, Agile Methodologies, and Evolution.

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